What you'll be doing:
Hands-on infrastructure development and maintenance using cutting-edge technologies.
Identify, evaluate, and integrate AI/ML tools specifically for hardware simulation workflows. Architect and manage the underlying infrastructure to support internal Large Language Model (LLM) projects.
Optimize SW Development Life Cycle (SDLC) & deployment: Architect and implement advanced Git branching strategies, robust CI/CD pipelines, and Docker containerization to streamline the software development lifecycle and accelerate deployment of simulation tools.
Architect scalable simulation automation: design and implement orchestration frameworks for executing large-scale hardware simulations efficiently and reliably.
What we need to see:
BSc or equivalent experience in computer science, electrical engineering, or a related field.
3+ years of experience in a relevant role, focusing on infrastructure, DevOps, or simulation technologies.
Proven experience in evaluating and integrating new technologies, particularly in the AI/ML space.
Ways to stand out from the crowd:
Experience managing infrastructure for AI/ML workloads, including LLM projects.
Hands-on experience with HW architecture performance simulations tools (systemc, gem5) and workflows.
Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
